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Systems Biology Model Validation & Simulation Tools Training | SBML Workflows, Scans & Validation

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Systems Biology, Network Modeling & Pathway Informatics >> Systems Biology Model Validation & Simulation Tools Training | SBML Workflows, Scans & Validation

Systems Biology Model Validation & Simulation Tools — Hands-on

Learn how to verify, validate and simulate systems biology models so they are trustworthy and reusable. This module focuses on basic verification checks, validation against data, uncertainty and sensitivity views, and practical use of SBML friendly simulation tools to run time course, steady state and scenario analyses with clear reporting.

Systems Biology Model Validation & Simulation Tools
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Session 1
Fee: Rs 8800
Model Verification & Validation Foundations
  • What it means for a systems biology model to be “valid”
  • concepts of verification vs validation structural checks and consistency qualitative vs quantitative agreement
  • Common issues in models and how to spot them early
  • units, parameter ranges and sign errors mass balance and conservation ideas nonphysical trajectories and instability
  • Toolchain for basic model checks and documentation
  • SBML style representations (concept level) simple scripts for sanity checks model metadata and version notes
Session 2
Fee: Rs 11800
Simulation Tools & SBML Workflows
  • Overview of simulation environments for systems models
  • visual model editors (concept view) SBML compatible solvers and GUIs scriptable simulation via R / Python
  • Setting up time course and steady state simulations
  • initial conditions and parameter sets step sizes and solver options overview saving trajectories and outputs cleanly
  • Implementation toolkit for SBML centric workflows
  • import / export between editors and code simple scripts to batch run simulations organising simulation projects and files
Session 3
Fee: Rs 14800
Parameter Scans, Sensitivity & Scenarios
  • Exploring parameter space with scans and grids
  • one at a time parameter sweeps coarse grid exploration ideas summaries of output ranges and behaviours
  • Sensitivity and basic uncertainty views (concept level)
  • local sensitivity around a reference set simple global style sampling ideas heatmaps and summary indices
  • Implementation toolkit for scans and scenario management
  • scripts for looped simulations R / Python plotting of parameter vs outputs scenario naming and comparison tables
Session 4
Fee: Rs 18800
Mini Capstone: Model Validation & Simulation Report
  • Design a small validation and simulation plan for a model
  • Theory + Practical
  • Run simulations, parameter scans and summarise model behaviour
  • baseline and perturbed runs figures for key trajectories simple validation statements vs expectations
  • Deliverables: notebook, simulation outputs & validation summary
  • R or Python simulation notebook CSV/TSV output tables and figures PDF/HTML model validation report


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